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utils.py
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utils.py
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import gwcs
import numpy as np
import pytest
from astropy import units as u
from astropy.coordinates import ICRS
from astropy.io import fits
from astropy.modeling import models
from astropy.nddata import NDData
from astropy.wcs import WCS
from gwcs import coordinate_frames as cf, wcs as gwcs_wcs
__all__ = ['BaseImviz_WCS_NoWCS', 'BaseImviz_WCS_WCS', 'BaseImviz_WCS_GWCS', 'BaseImviz_GWCS_GWCS']
class BaseImviz_WCS_NoWCS:
@pytest.fixture(autouse=True)
def setup_class(self, imviz_helper):
hdu = fits.ImageHDU(np.arange(100).reshape((10, 10)), name='SCI')
# Apply some celestial WCS from
# https://learn.astropy.org/rst-tutorials/celestial_coords1.html
hdu.header.update({'CTYPE1': 'RA---TAN',
'CUNIT1': 'deg',
'CDELT1': -0.0002777777778,
'CRPIX1': 1,
'CRVAL1': 337.5202808,
'NAXIS1': 10,
'CTYPE2': 'DEC--TAN',
'CUNIT2': 'deg',
'CDELT2': 0.0002777777778,
'CRPIX2': 1,
'CRVAL2': -20.833333059999998,
'NAXIS2': 10})
# Data with WCS
imviz_helper.load_data(hdu, data_label='has_wcs')
# Data without WCS
imviz_helper.load_data(hdu, data_label='no_wcs')
imviz_helper.app.data_collection[1].coords = None
self.wcs = WCS(hdu.header)
self.imviz = imviz_helper
self.viewer = imviz_helper.default_viewer
# Since we are not really displaying, need this to test zoom.
self.viewer.shape = (100, 100)
self.viewer.state._set_axes_aspect_ratio(1)
class BaseImviz_WCS_WCS:
@pytest.fixture(autouse=True)
def setup_class(self, imviz_helper):
arr = np.ones((10, 10))
# First data with WCS, same as the one in BaseImviz_WCS_NoWCS.
hdu1 = fits.ImageHDU(arr, name='SCI')
hdu1.header.update({'CTYPE1': 'RA---TAN',
'CUNIT1': 'deg',
'CDELT1': -0.0002777777778,
'CRPIX1': 1,
'CRVAL1': 337.5202808,
'NAXIS1': 10,
'CTYPE2': 'DEC--TAN',
'CUNIT2': 'deg',
'CDELT2': 0.0002777777778,
'CRPIX2': 1,
'CRVAL2': -20.833333059999998,
'NAXIS2': 10})
imviz_helper.load_data(hdu1, data_label='has_wcs_1')
# Second data with WCS, similar to above but dithered by 1 pixel in X.
hdu2 = fits.ImageHDU(arr, name='SCI')
hdu2.header.update({'CTYPE1': 'RA---TAN',
'CUNIT1': 'deg',
'CDELT1': -0.0002777777778,
'CRPIX1': 2,
'CRVAL1': 337.5202808,
'NAXIS1': 10,
'CTYPE2': 'DEC--TAN',
'CUNIT2': 'deg',
'CDELT2': 0.0002777777778,
'CRPIX2': 1,
'CRVAL2': -20.833333059999998,
'NAXIS2': 10})
imviz_helper.load_data(hdu2, data_label='has_wcs_2')
self.wcs_1 = WCS(hdu1.header)
self.wcs_2 = WCS(hdu2.header)
self.imviz = imviz_helper
self.viewer = imviz_helper.default_viewer
# Since we are not really displaying, need this to test zoom.
self.viewer.shape = (100, 100)
self.viewer.state._set_axes_aspect_ratio(1)
class BaseImviz_WCS_GWCS:
@pytest.fixture(autouse=True)
def setup_class(self, imviz_helper):
arr = np.zeros((10, 8)) # (ny, nx)
arr[0, 0] = 1 # Bright corner for sanity check
# FITS WCS that is adapted from HST/ACS without the distortion.
w_fits = WCS({'WCSAXES': 2, 'NAXIS1': 8, 'NAXIS2': 10,
'CRPIX1': 5.0, 'CRPIX2': 5.0,
'PC1_1': -1.14852e-05, 'PC1_2': 7.01477e-06,
'PC2_1': 7.75765e-06, 'PC2_2': 1.20927e-05,
'CDELT1': 1.0, 'CDELT2': 1.0,
'CUNIT1': 'deg', 'CUNIT2': 'deg',
'CTYPE1': 'RA---TAN', 'CTYPE2': 'DEC--TAN',
'CRVAL1': 3.581704851882, 'CRVAL2': -30.39197867265,
'LONPOLE': 180.0, 'LATPOLE': -30.39197867265,
'MJDREF': 0.0, 'RADESYS': 'ICRS'})
# GWCS that is adapted from its Getting Started.
shift_by_crpix = models.Shift(-(5 - 1) * u.pix) & models.Shift(-(5 - 1) * u.pix)
matrix = np.array([[1.290551569736E-05, 5.9525007864732E-06],
[5.0226382102765E-06, -1.2644844123757E-05]])
rotation = models.AffineTransformation2D(matrix * u.deg, translation=[0, 0] * u.deg)
rotation.input_units_equivalencies = {"x": u.pixel_scale(1 * (u.deg / u.pix)),
"y": u.pixel_scale(1 * (u.deg / u.pix))}
rotation.inverse = models.AffineTransformation2D(np.linalg.inv(matrix) * u.pix,
translation=[0, 0] * u.pix)
rotation.inverse.input_units_equivalencies = {"x": u.pixel_scale(1 * (u.pix / u.deg)),
"y": u.pixel_scale(1 * (u.pix / u.deg))}
tan = models.Pix2Sky_TAN()
celestial_rotation = models.RotateNative2Celestial(
3.581704851882 * u.deg, -30.39197867265 * u.deg, 180 * u.deg)
det2sky = shift_by_crpix | rotation | tan | celestial_rotation
det2sky.name = "linear_transform"
detector_frame = cf.Frame2D(name="detector", axes_names=("x", "y"), unit=(u.pix, u.pix))
sky_frame = cf.CelestialFrame(reference_frame=ICRS(), name='icrs', unit=(u.deg, u.deg))
pipeline = [(detector_frame, det2sky), (sky_frame, None)]
w_gwcs = gwcs.WCS(pipeline)
w_gwcs.bounding_box = ((0, 8), (0, 10)) * u.pix # x, y
# Load data into Imviz:
# 1. Data with FITS WCS and unit.
# 2. Data with GWCS (rotated w.r.t. FITS WCS) and no unit.
# 3. Data without WCS nor unit.
imviz_helper.load_data(NDData(arr, wcs=w_fits, unit='electron/s'), data_label='fits_wcs')
imviz_helper.load_data(NDData(arr, wcs=w_gwcs), data_label='gwcs')
imviz_helper.load_data(arr, data_label='no_wcs')
self.wcs_1 = w_fits
self.wcs_2 = w_gwcs
self.imviz = imviz_helper
self.viewer = imviz_helper.default_viewer
# Since we are not really displaying, need this to test zoom.
self.viewer.shape = (100, 100)
self.viewer.state._set_axes_aspect_ratio(1)
class BaseImviz_GWCS_GWCS:
@pytest.fixture(autouse=True)
def setup_class(self, imviz_helper):
arr = np.zeros((10, 8)) # (ny, nx)
arr[0, 0] = 1 # Bright corner for sanity check
# GWCS that is adapted from its Getting Started.
shift_by_crpix = models.Shift(-(5 - 1) * u.pix) & models.Shift(-(5 - 1) * u.pix)
matrix = np.array([[1.290551569736E-05, 5.9525007864732E-06],
[5.0226382102765E-06, -1.2644844123757E-05]])
rotation = models.AffineTransformation2D(matrix * u.deg, translation=[0, 0] * u.deg)
rotation.input_units_equivalencies = {"x": u.pixel_scale(1 * (u.deg / u.pix)),
"y": u.pixel_scale(1 * (u.deg / u.pix))}
rotation.inverse = models.AffineTransformation2D(np.linalg.inv(matrix) * u.pix,
translation=[0, 0] * u.pix)
rotation.inverse.input_units_equivalencies = {"x": u.pixel_scale(1 * (u.pix / u.deg)),
"y": u.pixel_scale(1 * (u.pix / u.deg))}
tan = models.Pix2Sky_TAN()
celestial_rotation = models.RotateNative2Celestial(
3.581704851882 * u.deg, -30.39197867265 * u.deg, 180 * u.deg)
det2sky = shift_by_crpix | rotation | tan | celestial_rotation
det2sky.name = "linear_transform"
detector_frame = cf.Frame2D(name="detector", axes_names=("x", "y"), unit=(u.pix, u.pix))
sky_frame = cf.CelestialFrame(reference_frame=ICRS(), name='icrs', unit=(u.deg, u.deg))
pipeline = [(detector_frame, det2sky), (sky_frame, None)]
w_gwcs_1 = gwcs.WCS(pipeline)
w_gwcs_1.bounding_box = ((0, 8), (0, 10)) * u.pix # x, y
# Second GWCS that is offset
shift_by_crpix = models.Shift(-1 * u.pix) & models.Shift(-1 * u.pix)
det2sky = shift_by_crpix | rotation | tan | celestial_rotation
det2sky.name = "linear_transform"
pipeline = [(detector_frame, det2sky), (sky_frame, None)]
w_gwcs_2 = gwcs.WCS(pipeline)
w_gwcs_2.bounding_box = ((0, 8), (0, 10)) * u.pix # x, y
# Load data into Imviz
imviz_helper.load_data(NDData(arr, wcs=w_gwcs_1, unit='electron/s'), data_label='gwcs1')
imviz_helper.load_data(NDData(arr, wcs=w_gwcs_2), data_label='gwcs2')
self.wcs_1 = w_gwcs_1
self.wcs_2 = w_gwcs_2
self.imviz = imviz_helper
self.viewer = imviz_helper.default_viewer
# Since we are not really displaying, need this to test zoom.
self.viewer.shape = (100, 100)
self.viewer.state._set_axes_aspect_ratio(1)
# --- This was used to generate data/roman_wfi_image_model.asdf ---
def create_example_gwcs(shape):
# Example adapted from photutils:
# https://github.com/astropy/photutils/blob/
# 2825356f1d876cacefb3a03d104a4c563065375f/photutils/datasets/make.py#L821
rho = np.pi / 3.0
# Roman plate scale:
scale = (0.11 * (u.arcsec / u.pixel)).to_value(u.deg / u.pixel)
shift_by_crpix = (models.Shift((-shape[1] / 2) + 1)
& models.Shift((-shape[0] / 2) + 1))
cd_matrix = np.array([[-scale * np.cos(rho), scale * np.sin(rho)],
[scale * np.sin(rho), scale * np.cos(rho)]])
rotation = models.AffineTransformation2D(cd_matrix, translation=[0, 0])
rotation.inverse = models.AffineTransformation2D(
np.linalg.inv(cd_matrix), translation=[0, 0])
tan = models.Pix2Sky_TAN()
celestial_rotation = models.RotateNative2Celestial(197.8925, -1.36555556, 180.0)
det2sky = shift_by_crpix | rotation | tan | celestial_rotation
det2sky.name = 'linear_transform'
detector_frame = cf.Frame2D(name='detector', axes_names=('x', 'y'), unit=(u.pix, u.pix))
sky_frame = cf.CelestialFrame(reference_frame=ICRS(), name='icrs', unit=(u.deg, u.deg))
pipeline = [(detector_frame, det2sky), (sky_frame, None)]
return gwcs_wcs.WCS(pipeline)
def create_wfi_image_model(image_shape, **kwargs):
"""
Create a dummy Roman WFI ImageModel instance with valid values
for attributes required by the schema.
Requires roman_datamodels >= 0.14.2
Parameters
----------
image_shape : tuple
Shape of the synthetic image to produce.
**kwargs
Additional or overridden attributes.
Returns
-------
data_model : `roman_datamodels.datamodel.ImageModel`
""" # noqa: E501
from roman_datamodels import datamodels as rdd
from roman_datamodels.maker_utils import mk_level2_image
wfi_image = mk_level2_image(shape=image_shape, **kwargs)
# introduce synthetic gwcs:
wfi_image["meta"]["wcs"] = create_example_gwcs(image_shape)
return rdd.ImageModel(wfi_image)